Neurofuzzy adaptive modelling and control
Neurofuzzy adaptive modelling and control
Uncertainty, fuzzy logic, and signal processing
Signal Processing - Special issue on fuzzy logic in signal processing
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Wavelet methods for continuous-time prediction using Hilbert-valued autoregressive processes
Journal of Multivariate Analysis
Fast learning in networks of locally-tuned processing units
Neural Computation
Short term local meteorological forecasting using type-2 fuzzy systems
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Short term local meteorological forecasting using type-2 fuzzy systems
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization
International Journal of Approximate Reasoning
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Meteorological forecasting is an important issue in research. Typically, the forecasting is performed at “global level,” by gathering data in a large geographical region and by studying their evolution, thus foreseeing the meteorological situation in a certain place. In this paper a “local level” approach, based on time series forecasting using Type-2 Fuzzy Systems, is proposed. In particular temperature forecasting is inspected. The Fuzzy System is trained by means of historical local time series. The algorithm uses a detrend procedure in order to extract the chaotic component to be predicted.